Penetration Testing AI Assistant based on open source LLMs.
# Add to your Claude Code skills
git clone https://github.com/antoninoLorenzo/AI-OPS💡 Note: AI-OPS is currently an experimental project.
AI-OPS is a Penetration Testing AI Assistant that leverages open-source Large Language Models (LLMs)
to explore the role of Generative AI in ethical hacking. With a focus on accessibility and practical use, it
aims to accelerate common tasks in pentesting such as exploit development, vulnerability research, and code analysis.
Disclaimer: AI-OPS goal is to support human operators rather than automate penetration testing activities entirely, ensuring that AI remains a supplementary tool during real-world workflows. As any other automation tool, it doesn't replace operator competence, neither knowledge: AI won't do the work for you, but it may help in the process.
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In the current iteration, AI-OPS does not directly interact with target systems. Instead, it serves as an assistive tool that aids in tasks like generating proof-of-concept (PoC) exploits, researching security vulnerabilities in specific technologies, and analyzing code for potential flaws.
AI-OPS supports virtually any LLM that can be hosted with Ollama, allowing you to tailor the assistant to your
available resources; for detailed setup instructions, see Configuration.
While flexibility is key, note that performance may vary depending on the model used. Below is a list of currently implemented models.
| Name | Notes | |-----------------|----------------------------------------------------------------------------------------------------| | DeepSeek-r1 | New integration. ...